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I would propose to add a parameter to optionally disable publishing of map->odom tf transfrom, such as tf_broadcast parameter in amcl package.
Use case for this is when one would be using robot_localization package for fusing multiple localization sources with Kalman filter (e.g localization with lama + bluetooth beacons or GPS). In this case map->odom is (or can be) published by robot_localization nodes and should be disabled for robot_localization input sources, i.e lama ros.
Edit: I see that using Kalman filter is also discussed in #5.
The text was updated successfully, but these errors were encountered:
I think it only makes sense to implement it in loc2d_ros as it is used for localization.
For slam2d_ros it could be useful in case od lifelong mapping as discussed in #38, where this node would also be used for localization, but as I understand from discussion, LaMa is currently not suitable for this.
Another question, is it possible to estimate covariance matrix for localization, so that pose could be published as geometry_msgs::PoseWithCovarianceStamped message?
I think I can add the option to disable tf broadcasting for loc2d_ros.
Another question, is it possible to estimate covariance matrix for localization, so that pose could be published as geometry_msgs::PoseWithCovarianceStamped message?
I would propose to add a parameter to optionally disable publishing of
map->odom
tf transfrom, such astf_broadcast
parameter in amcl package.Use case for this is when one would be using robot_localization package for fusing multiple localization sources with Kalman filter (e.g localization with lama + bluetooth beacons or GPS). In this case
map->odom
is (or can be) published byrobot_localization
nodes and should be disabled forrobot_localization
input sources, i.e lama ros.Edit: I see that using Kalman filter is also discussed in #5.
The text was updated successfully, but these errors were encountered: